Analytics

Despite years of investment, many hospitals remain digitally fragmented. A command centre approach offers a practical way forward, integrating data and decision-making in real time to enhance operational and surgical performance – and patient care.

Providers deal with integration issues and regulation difficulties in implementing AI and data analytics, says Tan Bin Ru, president of Enterprise Digital at ST Engineering.

The U.S. Department of Health and Human Services says the agencies will devise a data use agreement that assures secure access to certain Medicare and Medicaid data with the aim of uncovering root causes of autism.

It is now preparing to undergo the Stage 7 EMRAM validation.

A predictive analytics tool at Piedmont Healthcare helps identify and engage with patients at risk for medication non-adherence. Melissa Robinson, the health system's population health pharmacy program manager, explains.

Improved patient experience has earned the Indonesian hospital a 4.9 Google review rating, among other outcomes.

For Davies Awardee Dr. Robert Jarve and his team from Corewell Health, studying data from a clinic serving high-risk Medicaid patients helped them understand what's driving most of the clinic's ED utilization.

Synthetic data supports privacy and early research access – but must meet standards for fidelity, usability and security to earn trust, says Steffen Hess, Health Data Lab head at Germany's Federal Institute for Drugs and Medical Devices (BfArM).

When data analysts and clinicians build trust and rapport, they can design safer patient care tools that make their jobs easier, say Dr. Vinay Vaidya and Dr. Wendy Bernatavicius of Phoenix Children's Hospital.

They're used to forecast the longitudinal behavior of trial participants – and by predicting individuals' likely response to a drug, can improve data quality and shorten trial timelines, says Unlearn CEO Steven Herne.